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incident-response

Production incident management, triage workflows, and automated incident resolution

ClaudePluginHub fallbackgenerated from the plugin's indexed repository (esimplicityinc/prima-delivery) — no native marketplace selected

npx claudepluginhub p/esimplicityinc-incident-response-plugins-incident-response

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What's Inside

Slash Commands2

Configuration

/incident-response

Orchestrate multi-agent incident response with modern SRE practices for rapid resolution and learning:

Intelligent Issue Resolution with Multi-Agent Orchestration

/smart-fix

[Extended thinking: This workflow implements a sophisticated debugging and resolution pipeline that leverages AI-assisted debugging tools and observability platforms to systematically diagnose and resolve production issues. The intelligent debugging strategy combines automated root cause analysis with human expertise, using modern 2024/2025 practices including AI code assistants (GitHub Copilot, AI assistant), observability platforms (Sentry, DataDog, OpenTelemetry), git bisect automation for regression tracking, and production-safe debugging techniques like distributed tracing and structured logging. The process follows a rigorous four-phase approach: (1) Issue Analysis Phase - error-detective and debugger agents analyze error traces, logs, reproduction steps, and observability data to understand the full context of the failure including upstream/downstream impacts, (2) Root Cause Investigation Phase - debugger and code-reviewer agents perform deep code analysis, automated git bisect to identify introducing commit, dependency compatibility checks, and state inspection to isolate the exact failure mechanism, (3) Fix Implementation Phase - domain-specific agents (python-pro, typescript-pro, rust-expert, etc.) implement minimal fixes with comprehensive test coverage including unit, integration, and edge case tests while following production-safe practices, (4) Verification Phase - test-automator and performance-engineer agents run regression suites, performance benchmarks, security scans, and verify no new issues are introduced. Complex issues spanning multiple systems require orchestrated coordination between specialist agents (database-optimizer → performance-engineer → devops-troubleshooter) with explicit context passing and state sharing. The workflow emphasizes understanding root causes over treating symptoms, implementing lasting architectural improvements, automating detection through enhanced monitoring and alerting, and preventing future occurrences through type system enhancements, static analysis rules, and improved error handling patterns. Success is measured not just by issue resolution but by reduced mean time to recovery (MTTR), prevention of similar issues, and improved system resilience.]

Agents2

incident-responder

/incident-responder

Expert SRE incident responder specializing in rapid problem resolution, modern observability, and comprehensive incident management. Masters incident command, blameless post-mortems, error budget management, and system reliability patterns. Handles critical outages, communication strategies, and continuous improvement. Use IMMEDIATELY for production incidents or SRE practices.

devops-troubleshooter

/devops-troubleshooter

Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability. Masters log analysis, distributed tracing, Kubernetes debugging, performance optimization, and root cause analysis. Handles production outages, system reliability, and preventive monitoring. Use PROACTIVELY for debugging, incident response, or system troubleshooting.

Skills3

incident-runbook-templates

/incident-runbook-templates

Create structured incident response runbooks with step-by-step procedures, escalation paths, and recovery actions. Use when building runbooks, responding to incidents, or establishing incident response procedures.

on-call-handoff-patterns

/on-call-handoff-patterns

Master on-call shift handoffs with context transfer, escalation procedures, and documentation. Use when transitioning on-call responsibilities, documenting shift summaries, or improving on-call processes.

postmortem-writing

/postmortem-writing

Write effective blameless postmortems with root cause analysis, timelines, and action items. Use when conducting incident reviews, writing postmortem documents, or improving incident response processes.

The plugin manifest points to a different repository than the source indexed by ClaudePluginHub.

Stats

Version1.2.2

ReleasedMar 17, 2026

LanguageJust

Stars0

MaintenancePoor

LicenseUNLICENSED

Last CommitMar 16, 2026

AddedJul 18, 2026

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README

Prima Delivery

Internal AI development toolkit with 108 specialized agents and 140 skills for accelerated software development.

Overview

Prima Delivery provides a comprehensive collection of AI-powered development tools organized into focused, single-purpose components:

Component	Count	Description
Agents	108	Specialized AI assistants for specific domains
Skills	140	Modular knowledge packages with progressive disclosure
Plugins	72	Workflow bundles combining agents, skills, and commands

Installation

OpenPackage (Recommended)

Install using OpenPackage for multi-platform support (Copilot, OpenCode, Claude Code, Cursor, Windsurf, and more):

# Install OpenPackage CLI
npm install -g opkg

# Install full toolkit (all 72 plugins)
opkg install gh@esimplicityinc/prima-delivery

# Install specific plugins
opkg install gh@esimplicityinc/prima-delivery --plugins debugging-toolkit
opkg install gh@esimplicityinc/prima-delivery --plugins python-development backend-development

# Install specific agents only
opkg install gh@esimplicityinc/prima-delivery --agents docs-architect code-reviewer

# Install to global scope (user-wide)
opkg install gh@esimplicityinc/prima-delivery -g

Supported Platforms:

Copilot (GitHub Copilot)
OpenCode
Claude Code
Cursor
Windsurf
Codex
Factory
Kilo Code
Roo
Qwen Code
And more...

Copilot (Manual)

Add Prima Delivery agents to your GitHub Copilot setup:

# Copy Copilot instructions to your project
cp .github/copilot-instructions.md /path/to/your/project/.github/

# Or copy individual agent files
cp -r .github/agents/ /path/to/your/project/.github/agents/

OpenCode (Manual)

Copy the .opencode/ directory to your project root:

cp -r .opencode/ /path/to/your/project/

Or install globally:

cp -r .opencode/ ~/.config/opencode/

Structure:

.opencode/
├── agents/     # 108 agent markdown files
├── skills/     # 140 skill directories
├── commands/   # Custom slash commands
└── plugins/    # TypeScript plugins

Claude Code (Manual)

Add the marketplace to your Claude Code installation:

/plugin marketplace add [internal-path]/prima-delivery

Install specific plugins:

/plugin install python-development
/plugin install backend-development
/plugin install security-scanning

Agent Categories

Development & Architecture

backend-architect - API design, microservices, database schemas
frontend-developer - React, responsive layouts, state management
database-architect - Schema design, technology selection, optimization

Programming Languages

python-pro, typescript-pro, golang-pro, rust-pro
java-pro, csharp-pro, ruby-pro, php-pro
c-pro, cpp-pro, elixir-pro, haskell-pro

Infrastructure & DevOps

cloud-architect - AWS/Azure/GCP infrastructure
kubernetes-architect - Container orchestration, GitOps
terraform-specialist - Infrastructure as Code
deployment-engineer - CI/CD pipelines

Quality & Security

code-reviewer - Code review with security focus
security-auditor - Vulnerability assessment, OWASP
test-automator - Unit, integration, e2e testing
performance-engineer - Profiling, optimization

Data & AI

ai-engineer - LLM applications, RAG systems
ml-engineer - ML pipelines, model serving
data-scientist - Analysis, modeling, BigQuery
data-engineer - ETL, data warehouses

Documentation

docs-architect - Technical documentation
api-documenter - OpenAPI/Swagger specs
tutorial-engineer - Step-by-step guides

View complete agent reference

Skills

Skills provide specialized knowledge that agents can load on-demand:

Language Skills

async-python-patterns - AsyncIO, concurrency
typescript-advanced-types - Generics, type inference
rust-ownership-patterns - Memory safety, borrowing

Infrastructure Skills

kubernetes-manifest-patterns - K8s configurations
terraform-module-library - IaC templates
istio-traffic-management - Service mesh

AI/ML Skills

rag-implementation - Retrieval-augmented generation
prompt-engineering-patterns - LLM optimization
langchain-architecture - LLM application frameworks

View complete skills reference

Plugin Catalog

Essential Plugins

# Development
/plugin install python-development      # Python with 5 skills
/plugin install javascript-typescript   # JS/TS with 4 skills
/plugin install backend-development     # APIs with 3 skills

# Infrastructure
/plugin install kubernetes-operations   # K8s with 4 skills
/plugin install cloud-infrastructure    # Cloud with 4 skills

View full README on GitHub

incident-response

Popularity

What's Inside

Confidence

README

Prima Delivery

Overview

Installation

OpenPackage (Recommended)

Copilot (Manual)

OpenCode (Manual)

Claude Code (Manual)

Agent Categories

Development & Architecture

Programming Languages

Infrastructure & DevOps

Quality & Security

Data & AI

Documentation

Skills

Language Skills

Infrastructure Skills

AI/ML Skills

Plugin Catalog

Essential Plugins

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Prima Delivery

Overview

Installation

OpenPackage (Recommended)

Copilot (Manual)

OpenCode (Manual)

Claude Code (Manual)

Agent Categories

Development & Architecture

Programming Languages

Infrastructure & DevOps

Quality & Security

Data & AI

Documentation

Skills

Language Skills

Infrastructure Skills

AI/ML Skills

Plugin Catalog

Essential Plugins

Popularity

Health & Quality

More by esimplicityinc

agent-development

git-pr-workflows

code-refactoring

database-design

agent-orchestration

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